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hallucination detection

530 papers

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large language model (13587) retrieval-augmented generation (1592) text generation (2913) text classification (6793) uncertainty quantification (1393) natural language inference (1287) language model (4599) question answering (2963) benchmark evaluation (1556) fact verification (257)

Papers

ANAH: Analytical Annotation of Hallucinations in Large Language Models ACL 2024
InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers ACL 2024
SLPL SHROOM at SemEval2024 Task 06 : A comprehensive study on models ability to detect hallucination SEMEVAL 2024
OctavianB at SemEval-2024 Task 6: An exploration of humanlike qualities of hallucinated LLM texts SEMEVAL 2024
TU Wien at SemEval-2024 Task 6: Unifying Model-Agnostic and Model-Aware Techniques for Hallucination Detection SEMEVAL 2024
Compos Mentis at SemEval2024 Task6: A Multi-Faceted Role-based Large Language Model Ensemble to Detect Hallucination SEMEVAL 2024
Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back SEMEVAL 2024
AILS-NTUA at SemEval-2024 Task 6: Efficient model tuning for hallucination detection and analysis SEMEVAL 2024
MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarity SEMEVAL 2024
Team Bolaca at SemEval-2024 Task 6: Sentence-transformers are all you need SEMEVAL 2024
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection SEMEVAL 2024
Maha Bhaashya at SemEval-2024 Task 6: Zero-Shot Multi-task Hallucination Detection SEMEVAL 2024
HIT-MI&T Lab at SemEval-2024 Task 6: DeBERTa-based Entailment Model is a Reliable Hallucination Detector SEMEVAL 2024
SemEval-2024 Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes SEMEVAL 2024
Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back NAACL 2024
AILS-NTUA at SemEval-2024 Task 6: Efficient model tuning for hallucination detection and analysis NAACL 2024
MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarity NAACL 2024
SemEval-2024 Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes NAACL 2024
MASSIVE Multilingual Abstract Meaning Representation: A Dataset and Baselines for Hallucination Detection NAACL 2024
Handling Ontology Gaps in Semantic Parsing NAACL 2024
FactAlign: Fact-Level Hallucination Detection and Classification Through Knowledge Graph Alignment NAACL 2024
HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation NAACL 2024
Introducing GenCeption for Multimodal LLM Benchmarking: You May Bypass Annotations NAACL 2024
Uncertainty in Language Models: Assessment through Rank-Calibration EMNLP 2024
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps EMNLP 2024